School of Biomedical Engineering & Imaging Science, King's College London, London, UK.
Developmental Neurosciences, UCL Great Ormond Street for Child Health, UCL, London, UK.
Epilepsia. 2024 Aug;65(8):2238-2247. doi: 10.1111/epi.18028. Epub 2024 Jun 3.
Epilepsy's myriad causes and clinical presentations ensure that accurate diagnoses and targeted treatments remain a challenge. Advanced neurotechnologies are needed to better characterize individual patients across multiple modalities and analytical techniques. At the XVIth Workshop on Neurobiology of Epilepsy: Early Onset Epilepsies: Neurobiology and Novel Therapeutic Strategies (WONOEP 2022), the session on "advanced tools" highlighted a range of approaches, from molecular phenotyping of genetic epilepsy models and resected tissue samples to imaging-guided localization of epileptogenic tissue for surgical resection of focal malformations. These tools integrate cutting edge research, clinical data acquisition, and advanced computational methods to leverage the rich information contained within increasingly large datasets. A number of common challenges and opportunities emerged, including the need for multidisciplinary collaboration, multimodal integration, potential ethical challenges, and the multistage path to clinical translation. Despite these challenges, advanced epilepsy neurotechnologies offer the potential to improve our understanding of the underlying causes of epilepsy and our capacity to provide patient-specific treatment.
癫痫的多种病因和临床表现确保了准确的诊断和针对性的治疗仍然是一个挑战。需要先进的神经技术来更好地描述多个模态和分析技术的个体患者。在第十六届癫痫神经生物学研讨会：早期发作性癫痫：神经生物学和新的治疗策略（WONOEP 2022）上，“先进工具”会议重点介绍了一系列方法，从遗传性癫痫模型和切除组织样本的分子表型到成像引导下致痫组织的定位，以进行局灶性畸形的手术切除。这些工具集成了前沿研究、临床数据采集和先进的计算方法，以利用日益庞大的数据集所包含的丰富信息。出现了一些共同的挑战和机遇，包括需要多学科合作、多模态整合、潜在的伦理挑战以及向临床转化的多阶段路径。尽管存在这些挑战，但先进的癫痫神经技术有可能提高我们对癫痫发病原因的理解，并提高我们为患者提供个体化治疗的能力。
